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使用人工制品定向分析遗址形成过程的额外统计和图形方法。

Additional statistical and graphical methods for analyzing site formation processes using artifact orientations.

作者信息

McPherron Shannon P

机构信息

Department of Human Evolution, DeutscherPlatz 6, Leipzig, Germany, 04103.

出版信息

PLoS One. 2018 Jan 2;13(1):e0190195. doi: 10.1371/journal.pone.0190195. eCollection 2018.

DOI:10.1371/journal.pone.0190195
PMID:29293573
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5749765/
Abstract

The 3D orientation of clasts within a deposit are known to be informative on processes that formed that deposit. In archaeological sites, a portion of the clasts in the deposit are introduced by non-geological processes, and these are typically systematically recorded in archaeological excavations with total stations. By recording a second point on elongated clasts it is possible to quickly and precisely capture their orientation. The statistical and graphical techniques for analyzing these data are well published, and there is a growing set of actualistic and archaeological comparative data to help with the interpretation of the documented patterns. This paper advances this area of research in presenting methods to address some shortcomings in current methodologies. First, a method for calculating confidence intervals on orientation statistics is presented to help address the question of how many objects are needed to assess the formation of a deposit based on orientations. Second, a method for assessing the probability that two assemblages have different orientations is presented based on permutations testing. This method differs from existing ones in that it considers three-dimensional orientations rather than working separately with the two-dimensional bearing and plunge components. Third, a method is presented to examine spatial variability in orientations based on a moving windows approach. The raw data plus the R code to build this document and to implement these methods plus those already described by McPherron are included to help further their use in assessing archaeological site formation processes.

摘要

沉积物中碎屑的三维方向对于形成该沉积物的过程具有指示作用。在考古遗址中,沉积物中的一部分碎屑是由非地质过程引入的,并且这些通常会在考古发掘中通过全站仪系统地记录下来。通过在细长碎屑上记录第二个点,可以快速准确地获取它们的方向。分析这些数据的统计和图形技术已有大量文献发表,并且有越来越多的实际和考古对比数据可用于帮助解释记录的模式。本文在提出解决当前方法中一些缺点的方法方面推动了这一研究领域的发展。首先,提出了一种计算方向统计置信区间的方法,以帮助解决基于方向评估沉积物形成需要多少物体的问题。其次,基于排列检验提出了一种评估两个组合具有不同方向的概率的方法。该方法与现有方法的不同之处在于它考虑三维方向,而不是分别处理二维方位和倾伏分量。第三,提出了一种基于移动窗口方法来检查方向空间变异性的方法。包含原始数据以及构建本文档和实施这些方法的R代码,以及McPherron已经描述的那些代码,以帮助进一步将它们用于评估考古遗址形成过程。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5699/5749765/75fdb6947301/pone.0190195.g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5699/5749765/634a2e12ad71/pone.0190195.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5699/5749765/b88c4d60eb3d/pone.0190195.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5699/5749765/c1eebfbca6be/pone.0190195.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5699/5749765/a4ef351e7c71/pone.0190195.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5699/5749765/19316b654bde/pone.0190195.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5699/5749765/51a3c1a87f2e/pone.0190195.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5699/5749765/d583bc7b73d8/pone.0190195.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5699/5749765/7a96030ef768/pone.0190195.g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5699/5749765/75fdb6947301/pone.0190195.g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5699/5749765/634a2e12ad71/pone.0190195.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5699/5749765/b88c4d60eb3d/pone.0190195.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5699/5749765/c1eebfbca6be/pone.0190195.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5699/5749765/a4ef351e7c71/pone.0190195.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5699/5749765/19316b654bde/pone.0190195.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5699/5749765/51a3c1a87f2e/pone.0190195.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5699/5749765/d583bc7b73d8/pone.0190195.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5699/5749765/7a96030ef768/pone.0190195.g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5699/5749765/75fdb6947301/pone.0190195.g009.jpg

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